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Best Institutes for Apache Mahout training in Ludhiana with Course Fees

List of 2+ Apache Mahout training institutes located near to you in Ludhiana as on December 6, 2019. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.



training institutes Pristine Tech School
Ludhiana - Bhai Randhir Singh Nagar
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training institutes EtudePro
Ludhiana - Haibowal Kalan
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Address: Hambran Road Near Kali MAta Mandir Ludhaina Haibowal Kalan Ludhiana-0

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Apache Mahout Training Institutes in Ludhiana - by Location Provides complete list of best Apache Mahout training institutes in Ludhiana and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.




Learning Apache Mahout course in Ludhiana - Benefits, Advantages & Placements.

We have identified the benefits of learning apache-mahout course in Ludhiana.
Apache Mahout training in Ludhiana is part of Hadoop training course class, Apache Mahout is an open source framework that is primarily used in producing scalable machine learning algorithms as well as in data mining.It is a simple and extensible programming environment for building scalable algorithms.A mahout is the one who drives an elephant as its master.Hence it uses elephant as its logo.
Mahout was founded by several people who were involved in the Apache Lucene which is an open source search community who found their interests in machine learning.It later became as Apache TLP in April 2010. Apache Mahout is a product of the Apache Software Foundation to produce scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering and classification. The implementations use the Apache Hadoop platform.
It also runs in single node or a non Hadoop Cluster. The algorithms of Mahout are written on top of Hadoop, so it performs well in distributed environment. Mahout uses the Apache Hadoop library to scale effectively in the cloud.Companies such as Adobe, Facebook, LinkedIn, Foursquare, Twitter, and Yahoo use Mahout internally.
Mahout has come a long way in a short amount of time. Although the focus is still on the Three Cs such as collaborative filtering (recommenders), clustering, and classification, the project has also added other capabilities.It has expanded and improved in two areas such as core algorithms for machine learning, and supporting infrastructure including input/output tools, integration points with other libraries.However it is continuously improvising each day.
The largest district of Punjab and the largest city in the north of Delhi .The city resides on the banks of Sutlejs old banks. The city is populous in the harvesting season and the city provides a high quality education. There are institutions and research organisations on engineering, management , medicine etc. The city attracts a lot of students as it has a good coaching and trainers. The city has many MNCs and food industries setting up as the place is rich in agriculture and attracts a lot of students for employment. The city is affordable to live in.
You have travel connectivity to apache-mahout course educational training institutes in Ludhiana. The Ludhiana junction railway station connects all the metro cities and city is connected by national and state highways through Punjab. The Ludhiana airport located near the town of Sahnewal also has connecting flights plying to Delhi and other places. The Taxis and Auto rickshaw facility inside the city helps the localities to reach nearby places.




Apache Mahout course Content / syllabus in ludhiana

Below is the Apache Mahout course content in ludhiana used by the training institutes as part of the Apache Mahout course training. The Apache Mahout course syllabus covers basic to advanced level course contents which is used by most of Apache Mahout training classes in ludhiana .


1.Intro to Machine Learning
2.Intro to Apache Mahout
3.Recommendation Engine
6.Intro to recommendation systems
7.Content Based
a.Collaborative filtering
b.User based
c.Nearest N Users
e.Item based
8.Mahout Optimizations
9.An overview of a recommendation platform
a.Similarity measures
b.Manhattan distance
c.Euclidean distance
d.Cosine Similarity
e.Pearsons Correlation Similarity
f.Loglikihood Similarity
10.Evaluating Recommendation engines
11.Intro to Clustering
a.Common Clustering Algorithms
c.Fuzzy K-means, Mean Shift etc
d.Representing data
e.Feature Selection
g.Representing Vectors
12.Intro to Classification
c.Common Algorithms
13.Mahout on Hadoop
14.Apache Mahout & Myrrix


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